ArticleEnvironmental health : a global access science source2013
Mobile phone tracking: in support of modelling traffic-related air pollution contribution to individual exposure and its implications for public health impact assessment.
Article in Environmental health : a global access science source, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Towards Integrated Air Pollution Monitoring and Health Impact Assessment Using Federated Learning: A Systematic Review.Frontiers in public health · 2022Pooled it
- Air pollution and metabolic disorders: Dynamic versus static measures of exposure among Hispanics/Latinos and non-Hispanics.Environmental research · 2022Article
- Spatio-Temporal Variation-Induced Group Disparity of Intra-Urban NOInternational journal of environmental research and public health · 2022Article
- Potential Role of Natural Products to Combat Radiotherapy and Their Future Perspectives.Molecules (Basel, Switzerland) · 2021Review
- Air pollution and cardiorespiratory hospitalization, predictive modeling, and analysis using artificial intelligence techniques.Environmental science and pollution research international · 2021Article
- Measuring the impact of spatial perturbations on the relationship between data privacy and validity of descriptive statistics.International journal of health geographics · 2021Article
- Morbidity Forecast in Cities: A Study of Urban Air Pollution and Respiratory Diseases in the Metropolitan Region of Curitiba, Brazil.Journal of urban health : bulletin of the New York Academy of Medicine · 2019Article
- Development of an environmental health tool linking chemical exposures, physical location and lung function.BMC public health · 2019Article
- Current, future and potential use of mobile and wearable technologies and social media data in the ABCD study to increase understanding of contributors to child health.Developmental cognitive neuroscience · 2018Review
- Applications of Space Technologies to Global Health: Scoping Review.Journal of medical Internet research · 2018Article
- Carbon load in airway macrophages as a biomarker of exposure to particulate air pollution; a longitudinal study of an international Panel.Particle and fibre toxicology · 2018Article
- Are you getting sick? Predicting influenza-like symptoms using human mobility behaviors.EPJ data science · 2017Article
- Fine Particulate Matter in Urban Environments: A Trigger of Respiratory Symptoms in Sensitive Children.International journal of environmental research and public health · 2016Article
- Benefits of Mobile Phone Technology for Personal Environmental Monitoring.JMIR mHealth and uHealth · 2016Article
- Using wavelet-feedforward neural networks to improve air pollution forecasting in urban environments.Environmental monitoring and assessment · 2015Article
- Mobile Network Data for Public Health: Opportunities and Challenges.Frontiers in public health · 2015Article
- Using personal sensors to assess the exposome and acute health effects.International journal of environmental research and public health · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We propose a new approach to assess the impact of traffic-related air pollution on public health by mapping personal trajectories using mobile phone tracking technology in an urban environment. Although this approach is not based on any empirical studies, we believe that this method has great potential and deserves serious attention. Mobile phone tracking technology makes it feasible to generate millions of personal trajectories and thereby cover a large fraction of an urban population. Through analysis, personal trajectories are not only associated to persons, but it can also be associated with vehicles, vehicle type, vehicle speed, vehicle emission rates, and sources of vehicle emissions. Pollution levels can be estimated by dispersion models from calculated traffic emissions. Traffic pollution exposure to individuals can be estimated based on the exposure along the individual human trajectories in the estimated pollution concentration fields by utilizing modelling tools. By data integration, one may identify trajectory patterns of particularly exposed human groups. The approach of personal trajectories may open a new paradigm in understanding urban dynamics and new perspectives in population-wide empirical public health research. This new approach can be further applied to individual commuter route planning, land use planning, urban traffic network planning, and used by authorities to formulate air pollution mitigation policies and regulations.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.